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An anti-fraud method and device based on knowledge graph

A knowledge graph, enterprise technology, applied in the field of anti-fraud methods and devices based on knowledge graph, can solve the problems that institutions cannot correctly assess lending risks, large manpower and time costs, and high financing costs

Active Publication Date: 2021-06-22
北京一览群智数据科技有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional banking and other lending institutions need to spend a lot of manpower and time costs when evaluating and investigating loan applicants, resulting in long financing cycles and high financing costs for enterprises
Many small businesses voluntarily declare a lot of false information when applying for loans, which makes it impossible for institutions to correctly assess lending risks

Method used

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  • An anti-fraud method and device based on knowledge graph
  • An anti-fraud method and device based on knowledge graph
  • An anti-fraud method and device based on knowledge graph

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Embodiment Construction

[0064] In order to facilitate understanding of the technical solutions of the embodiments of the present application, the related technologies of the embodiments of the present application are described below.

[0065] The current implementation route of credit anti-fraud can be summarized as the following four technical means: based on black and white lists, based on rule engines, supervised learning and unsupervised learning.

[0066] ·The black and white list is the simplest and original anti-fraud method. The newly applied customers are queried and matched with the historical black list data to achieve the purpose of filtering and screening fraudulent users.

[0067] The rule engine originates from the rule-based expert system, which is used to simulate human behavior to realize automatic computer decision-making. It is based on the full understanding of the characteristics and patterns of fraudulent behaviors and is designed for single or combined fraudulent behaviors. In...

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Abstract

The present application discloses an anti-fraud method and device based on a knowledge map. The method includes: extracting entities, entity attribute data, and relationship data from data sources; screening and processing the entity attribute data, and using the processed The entity attribute data and the relationship data construct a knowledge graph, the knowledge graph includes a first type of node and a second type of node, the first type of node is a node with a known label, and the second type of node is a node to be predicted Labeled nodes; predicting labels of the second type of nodes based on the knowledge graph.

Description

technical field [0001] The present application relates to anti-fraud technology, in particular to an anti-fraud method and device based on knowledge graph. Background technique [0002] Traditional banking and other lending institutions need to spend a lot of manpower and time costs when evaluating and investigating loan applicants, resulting in long financing cycles and high financing costs for enterprises. The materials that many small businesses voluntarily declare when applying for loans contain a lot of false information, which makes it impossible for institutions to correctly assess lending risks. Contents of the invention [0003] In order to solve the above technical problems, the embodiment of the present application provides an anti-fraud method and device based on knowledge graph. [0004] The anti-fraud method based on the knowledge graph provided in the embodiment of the present application includes: [0005] Extract entities, entity attribute data, and rela...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/36G06Q40/02
CPCG06F16/35G06F16/367G06Q40/03
Inventor 窦志成姜涛韩维思黄真
Owner 北京一览群智数据科技有限责任公司
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